Program Description
The Master of Data Science at RMIT University equips students with advanced skills in data analysis, machine learning, and computational modeling to extract insights and drive informed decision-making. The program combines hands-on projects, industry collaborations, and applied learning, providing practical experience in predictive analytics, data visualization, and big data management. Graduates are prepared for diverse career outcomes such as data scientist, business analyst, machine learning engineer, or analytics consultant, ready to transform complex data into actionable insights across industries.
Program Requirements
Language Requirements
| Test | Overall Score | Listening | Reading | Writing | Speaking |
|---|---|---|---|---|---|
| IELTS | 7.0 | 6.5 | 6.5 | 6.5 | 6.5 |
| PTE - A | 65.0 | 58.0 | 58.0 | 58.0 | 58.0 |
| TOEFL | 94.0 | 20.0 | 19.0 | 24.0 | 20.0 |
Academic Scores
| Scale | Minimum Score Required |
|---|---|
| GPA Scale (0-4.00) | 2.80 |
Program Intakes
| February, 2026 |
|---|
| March, 2026 |
| July, 2026 |
| September, 2026 |
| October, 2026 |
| November, 2026 |
| February, 2027 |
| March, 2027 |
| July, 2027 |
| September, 2027 |
| October, 2027 |
| November, 2027 |
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Applied and Pure Science